Скачать или смотреть AI Team Management 2026 What Every Manager MUST Know (2.5Hr Guide)

AI Team Management 2026: What Every Manager MUST Know (2.5Hr Guide)

2026 AI Team Management: Master AI Integration Without Chaos – 2.5 Hour Complete Guide for Managers

Stop AI projects from failing! Learn proven frameworks to hire AI talent, implement tools, measure ROI, and scale AI across your team. Perfect for managers leading digital transformation in 2026.

00:00 - Introduction: Why AI Management Fails (2026 Reality)
02:30 - AI Maturity Assessment for Your Team
08:15 - Hiring AI Talent: Roles, Skills, Interview Frameworks
21:40 - Building AI-Ready Team Culture
35:20 - Tool Selection: LLMs, Automation, Analytics Platforms
48:50 - Workflow Redesign: Human + AI Integration Patterns
01:04:10 - Change Management: Overcoming Team Resistance
01:17:35 - Performance Metrics: AI ROI Dashboards and KPIs
01:29:20 - Case Studies: Google, Microsoft, Startup Wins/Fails
01:42:45 - Scaling AI: Pilot to Enterprise Framework
01:55:30 - AI Ethics and Risk Management for Managers
02:09:15 - Complete AI Team Management Playbook Template
02:21:40 - Action Plan: Implement Tomorrow
02:28:00 - Final Q&A and Resources
02:30:00 - End Screen


Who this course is for:
■ Managers implementing AI in their teams
■ Tech leads transitioning to AI workflows
■ HR professionals hiring AI specialists
■ Executives needing AI ROI justification
■ Team leaders exploring AI productivity tools
■ Anyone managing hybrid human-AI teams
■ Ideal for saving time, reducing failed pilots, and building AI-ready organizations

What you'll master in this 2.5HR course:
AI hiring: Job descriptions, interview frameworks, talent pools
Team integration: Workflow redesign, change management
Tool selection: LLM APIs, automation platforms, analytics
Performance metrics: AI ROI dashboards, productivity baselines
Scaling strategies: Pilot to enterprise AI deployment
Real case studies: Google, Microsoft, startup successes/failures

Timestamps below – Jump to your biggest pain point!

💡 Why now? 78% of AI projects fail due to poor management – don't be a statistic.

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